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» The Infinite Hidden Markov Model
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117
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NIPS
2001
15 years 5 months ago
Linear-time inference in Hierarchical HMMs
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
K. P. Murphy, Mark A. Paskin
127
Voted
ECML
2005
Springer
15 years 9 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
182
Voted
STAIRS
2008
175views Education» more  STAIRS 2008»
15 years 5 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
91
Voted
ISI
2003
Springer
15 years 8 months ago
Locating Hidden Groups in Communication Networks Using Hidden Markov Models
Malik Magdon-Ismail, Mark K. Goldberg, William A. ...
141
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou